Jing Gao 0004 - researchr alias

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Viewing Publication 1 - 36 from 36

2023

HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient InferenceHaoyu Wang 0004, Yaqing Wang, Tianci Liu, Tuo Zhao, Jing Gao 0004. emnlp 2023: 4283-4294 [doi]

Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language UnderstandingHaoyu Wang 0004, Yaqing Wang, Huaxiu Yao, Jing Gao 0004. emnlp 2023: 12426-12436 [doi]

MLGAN: a Meta-Learning based Generative Adversarial Network adapter for rare disease differentiation tasksRui Li, Andrew Wen, Jing Gao 0004, Hongfang Liu. bcb 2023: [doi]

SimFair: A Unified Framework for Fairness-Aware Multi-Label ClassificationTianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang 0001, Lu Su, Jing Gao 0004. AAAI 2023: 14338-14346 [doi]

LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language ModelsHaoyu Wang, Ruirui Li 0002, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao 0004. kdd 2023: 2302-2313 [doi]

Anchor Sampling for Federated Learning with Partial Client ParticipationFeijie Wu, Song Guo 0001, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao 0004. icml 2023: 37379-37416 [doi]

Concept-Level Model Interpretation From the Causal AspectLiuyi Yao, Yaliang Li, Sheng Li 0001, Jinduo Liu, Mengdi Huai, Aidong Zhang, Jing Gao 0004. tkde, 35(9):8799-8810, September 2023. [doi]

LOKI: A Practical Data Poisoning Attack Framework Against Next Item RecommendationsHengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao 0004. tkde, 35(5):5047-5059, May 2023. [doi]

2022

2021

RAST: A Reward Augmented Model for Fine-Grained Sentiment TransferXiaoxuan Hu, Hengtong Zhang, Wayne Xin Zhao, Yaliang Li, Jing Gao 0004, Ji-Rong Wen. nlpcc 2021: 196-209 [doi]

Meta Self-training for Few-shot Neural Sequence LabelingYaqing Wang, Subhabrata Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao 0004, Ahmed Hassan Awadallah. kdd 2021: 1737-1747 [doi]

Explainable Multi-task Flight Arrival Delay PredictionTianqi Wang, Lei Lin, Jing Gao 0004. itsc 2021: 1445-1450 [doi]

A Survey on Causal InferenceLiuyi Yao, Zhixuan Chu, Sheng Li 0001, Yaliang Li, Jing Gao 0004, Aidong Zhang. tkdd, 15(5), 2021. [doi]

Constrained Truth Discovery (Extended Abstract)Chen Ye, Hongzhi Wangy, Kangjie Zheng, YouKang Kong, Rong Zhuv, Jing Gao 0004, Jianzhong Li 0001. icde 2021: 2356-2357 [doi]

Deep truth discovery for pattern-based fact extractionChen Ye, Hongzhi Wang 0001, Wenbo Lu, Jing Gao 0004, Guojun Dai. isci, 580:478-494, 2021. [doi]

Profanity-Avoiding Training Framework for Seq2seq Models with Certified RobustnessHengtong Zhang, Tianhang Zheng, Yaliang Li, Jing Gao 0004, Lu Su, Bo Li. emnlp 2021: 5151-5161 [doi]

2020

Extracting Medical Knowledge from Crowdsourced Question Answering WebsiteYaliang Li, Chaochun Liu, Nan Du, Wei Fan 0001, Qi Li, Jing Gao 0004, Chenwei Zhang, Hao Wu. tbd, 6(2):309-321, 2020. [doi]

Practical Data Poisoning Attack against Next-Item RecommendationHengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao 0004. WWW 2020: 2458-2464 [doi]

2019

Online Federated Multitask LearningRui Li, Fenglong Ma, Wenjun Jiang, Jing Gao 0004. bigdataconf 2019: 215-220 [doi]

Influenza-Like Symptom Prediction by Analyzing Self-Reported Health Status and Human Mobility BehaviorsFenglong Ma, Shiran Zhong, Jing Gao 0004, Ling Bian. bcb 2019: 233-242 [doi]

Incorporating medical code descriptions for diagnosis prediction in healthcareFenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan 0006, Radha Chitta, Jing Zhou, Jing Gao 0004. midm, 19-S(6):267, 2019. [doi]

Metric Learning on Healthcare Data with Incomplete ModalitiesQiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan 0006, Jing Gao 0004, Aidong Zhang. IJCAI 2019: 3534-3540 [doi]

Improving Peer Assessment Accuracy by Incorporating Relative Peer GradesTianqi Wang, Qi Li 0012, Jing Gao 0004, Xia Jing, Jie Tang 0001. edm 2019: [doi]

IProWA: A Novel Probabilistic Graphical Model for Crowdsourcing AggregationTianqi Wang, Houping Xiao, Fenglong Ma, Jing Gao 0004. bigdataconf 2019: 677-682 [doi]

Deep Hierarchical Knowledge TracingTianqi Wang, Fenglong Ma, Jing Gao 0004. edm 2019: [doi]

DTEC: Distance Transformation Based Early Time Series ClassificationLiuyi Yao, Yaliang Li, Yezheng Li, Hengtong Zhang, Mengdi Huai, Jing Gao 0004, Aidong Zhang. sdm 2019: 486-494 [doi]

On the Estimation of Treatment Effect with Text CovariatesLiuyi Yao, Sheng Li 0001, Yaliang Li, Hongfei Xue, Jing Gao 0004, Aidong Zhang. IJCAI 2019: 4106-4113 [doi]

ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect EstimationLiuyi Yao, Sheng Li 0001, Yaliang Li, Mengdi Huai, Jing Gao 0004, Aidong Zhang. icdm 2019: 1432-1437 [doi]

Optimizing the Wisdom of the Crowd: Inference, Learning, and TeachingYao Zhou, Fenglong Ma, Jing Gao 0004, Jingrui He. kdd 2019: 3231-3232 [doi]

2017

Long-Term Memory Networks for Question AnsweringFenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun, Jing Gao 0004. IJCAI 2017: 7-14 [doi]

2011

Exploring the power of heterogeneous information sourcesJing Gao 0004. PhD thesis, University of Illinois Urbana-Champaign, USA, 2011. [doi]

2008

Research Challenges for Data Mining in Science and EngineeringJiawei Han 0001, Jing Gao 0004. In Hillol Kargupta, Jiawei Han 0001, Philip S. Yu, Rajeev Motwani, Vipin Kumar, editors, Next Generation of Data Mining. Chapman and Hall / CRC Data Mining and Knowledge Discovery Series, CRC Press / Chapman and Hall / Taylor & Francis, 2008. [doi]

Peer to peer botnet detection for cyber-security: a data mining approachMohammad M. Masud, Jing Gao 0004, Latifur Khan, Jiawei Han 0001, Bhavani M. Thuraisingham. csiirw 2008: [doi]

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